Outcomes after bariatric surgery according to large databases: a systematic review

Outcomes after bariatric surgery according to large databases: a systematic review Langenbecks Arch Surg (2017) 402:885–899 DOI 10.1007/s00423-017-1613-6 SYSTEMATIC REVIEWS AND META-ANALYSES Outcomes after bariatric surgery according to large databases: a systematic review 1,2 1,3 1 Andrea Balla & Gabriela Batista Rodríguez & Santiago Corradetti & 1 1 1 Carmen Balagué & Sonia Fernández-Ananín & Eduard M. Targarona Received: 28 March 2017 /Accepted: 27 July 2017 /Published online: 5 August 2017 Springer-Verlag GmbH Germany 2017 Abstract training (2) and (6) socio-economic and ethnic observations in Purpose The rapid development of technological tools to re- bariatric surgery (7). Forty-two papers were based on data cord data allows storage of enormous datasets, often termed from ACS-NSQIP, nine on data from NIS and three on data Bbig data^. In the USA, three large databases have been de- from MBSAQIP. veloped to store data regarding surgical outcomes: the Conclusions This review provides an overview of surgical American College of Surgeons National Surgical Quality management and outcomes of bariatric surgery in the USA. Improvement Program (ACS-NSQIP), the Healthcare Cost Large databases offer useful complementary information that and Utilization Project (HCUP) National Inpatient Sample could be considered external validation when strong evidence- (NIS) and the Metabolic and Bariatric Surgery Accreditation based medicine data are lacking. They http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Langenbeck's Archives of Surgery Springer Journals

Outcomes after bariatric surgery according to large databases: a systematic review

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Springer Berlin Heidelberg
Copyright © 2017 by Springer-Verlag GmbH Germany
Medicine & Public Health; General Surgery; Abdominal Surgery; Cardiac Surgery; Thoracic Surgery; Traumatic Surgery; Vascular Surgery
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